Data from: WisecondorX: improved copy number detection for routine shallow whole-genome sequencing

Lennart Raman, Annelies Dheedene, Matthias De Smet, Jo Van Dorpe & Björn Menten
Shallow whole-genome sequencing to infer copy number alterations (CNAs) in the human genome is rapidly becoming the method par excellence for routine diagnostic use. Numerous tools exist to deduce aberrations from massive parallel sequencing data, yet most are optimized for research and often fail to redeem paramount needs in a clinical setting. Optimally, a read depth-based analytical software should be able to deal with single-end and low-coverage data—this to make sequencing costs feasible. Other important...
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